Triple
T20153743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germaine Tillion |
E491500
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Germaine |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Germaine | Statement: [Germaine Tillion, givenName, Germaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germaine Context triple: [Germaine Tillion, givenName, Germaine]
-
A.
Germaine
chosen
Germaine is the given name of Anne Louise Germaine Necker, better known as Madame de Staël, a prominent French-Swiss writer and intellectual of the late 18th and early 19th centuries.
-
B.
Germaine
Germaine is a central character in Steve Martin’s play "Picasso at the Lapin Agile," serving as the sharp-witted barmaid who anchors the action in the Parisian café.
-
C.
Theo Germaine
Theo Germaine is an American actor best known for their breakout role in the Netflix political comedy-drama series "The Politician."
-
D.
Lucienne
Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
-
E.
Geneviève
Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667de9bec8190836887c86dbcf28d |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.